Worked on stabilizing and documenting data processing features in the Polars and Flyte ecosystems. In the pola-rs/polars repository, addressed flaky unit tests for rolling operations in the Python module by ensuring the 'index' column was cast to the correct parameterized dtype, which improved test reliability and coverage for rolling-by-integer scenarios. This enhanced the safety of future optimizations and reduced edge-case failures. Later, contributed to flyteorg/flyte by updating documentation to clarify datatype mappings for Polars DataFrame and LazyFrame, aligning with repository guidelines. Utilized Python, Markdown, and data analysis skills to improve both code quality and developer onboarding.